|Publication number||US8103873 B2|
|Application number||US 10/884,453|
|Publication date||24 Jan 2012|
|Filing date||1 Jul 2004|
|Priority date||5 Sep 2003|
|Also published as||US20050055206|
|Publication number||10884453, 884453, US 8103873 B2, US 8103873B2, US-B2-8103873, US8103873 B2, US8103873B2|
|Inventors||Christopher Hercules Claudatos, William Dale Andruss, Bruce David Leetch, Jeffrey Keith Porter|
|Original Assignee||Emc Corporation|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (131), Referenced by (5), Classifications (12), Legal Events (2)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application claims priority to U.S. Patent Appplication No. 60/500,453 entitled VOICE MESSAGE PROCESSING, filed Sep. 5, 2003, which is incorporated herein by reference for all purposes. This application is related to U.S. patent application Ser. No. 10/884,477 for Message Indexing and Archiving and filed concurrently herewith, which is incorporated herein by reference for all purposes; U.S. patent application Ser. No. 10/884,345 for Method and System for Information Lifecycle Management and filed concurrently herewith, which is incorporated herein by reference for all purposes; and co-pending U.S. patent application Ser. No. 10/884,473 for Automated Call Management and filed concurrently herewith, which is incorporated herein by reference for all purposes.
This invention relates generally to auditory communications. More particularly, processing, archival, and management of auditory communications is disclosed.
Companies, particularly in the finance, insurance, and healthcare fields, record some or all of the telephone conversations between their employees and their clients for evidence in case of a dispute. For example, a stock brokerage company may record thousands of conversations a year, mainly the details of customer transactions conducted over the telephone, to ensure that the execution of the customers' orders are consistent with the customers' spoken orders. It has become increasingly important for corporations to keep track of communications between employees and between employees and the corporation's customers and/or the public. The requirements of the SEC, NASD, HIPAA, Sarbanes-Oxley Act of 2002, and various anti-harassment and anti-discrimination laws put further pressure on corporations to have the ability to monitor, record, archive, index, retrieve, and control employee communications.
Traditionally, such conversations are recorded as voice/sound recordings on various recording media. Such conversations can also then be associated with individual customer records and retrieved if necessary. Recently, compression techniques have been put to use in order to decrease the amount of recording media required to capture and archive such recordings.
Voice data presents many challenges and problems to companies who plan to use it for reasons of compliance and content control. In order to locate recordings of telephone conversations with potentially non-compliant language, it would require near real-time playback while someone listens for the non-compliant language. It also makes it very difficult to monitor or identify compliance violations prior to a complaint. In the case of a complaint, the complainant would provide the approximate time and date which would narrow the scope of the search. Monitoring conversations for non-compliant language requires near real-time monitoring of all conversations. This takes considerable time, effort and cost.
It is very difficult for companies to keep track of employee telephone conversations because telephone conversations have substantial storage requirements and are difficult and time consuming to analyze for non-compliant communication and language, or a particular communication.
Many companies now use Voice over Internet Protocol (VoIP) networks to place and receive telephonic communications rather than solely using the traditional Public Switched Telephone Network (PSTN.) In VoIP networks, telephone voice conversations are converted to data that is compatible with IP networks. Once converted, the data can be switched and routed as any network data. When conversations are recorded, they are stored as voice messages that must be processed manually to determine whether they contain non-compliant communication and language, or a particular communication. Such processing is expensive and time-consuming, requiring considerable human intervention.
There is a need, therefore, for an improved method, article of manufacture, and apparatus for monitoring, recording, archiving, indexing, retrieving, processing, and managing communications in the form of voice messages.
The present invention will be readily understood by the following detailed description in conjunction with the accompanying drawings, wherein like reference numerals designate like structural elements, and in which:
A detailed description of one or more embodiments of the invention is provided below along with accompanying figures that illustrate the principles of the invention. While the invention is described in conjunction with such embodiment(s), it should be understood that the invention is not limited to any one embodiment. On the contrary, the scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications, and equivalents. For the purpose of example, numerous specific details are set forth in the following description in order to provide a thorough understanding of the present invention. These details are provided for the purpose of example, and the present invention may be practiced according to the claims without some or all of these specific details. For the purpose of clarity, technical material that is known in the technical fields related to the invention has not been described in detail so that the present invention is not unnecessarily obscured.
It should be appreciated that the present invention can be implemented in numerous ways, including as a process, an apparatus, a system, a device, a method, or a computer readable medium such as a computer readable storage medium or a computer network wherein program instructions are sent over optical or electronic communication links. A general purpose computer system such as an Intel-based processor running Microsoft Windows or Linux may be used, or a specialized appliance could be used. In this specification, these implementations, or any other form that the invention may take, may be referred to as techniques. In general, the order of the steps of disclosed processes may be altered within the scope of the invention.
An embodiment of the invention will be described with reference to a voice message processing system, but it should be understood that the principles of the invention are not limited to voice messages. Rather, they are applicable to any auditory communication capable of conveying meaning. Further, they are not limited to communications consisting solely of auditory communications, but can be used with any communication comprising an auditory component, including but not limited to videoconferences, video broadcasts, radio broadcasts, cell phone communications, wired communications, VoIP-based communications, digital communications, analog communications, and video-phone communications. Although the concepts herein are described with respect to a VoIP network, it should be understood that they are not limited to a VoIP network. Rather, they are applicable to any network or transmission means capable of conveying auditory communication, such as PSTN (Public Switched Telephone Networks) and POTS (Plain Old Telephone Service) services, and such communication may be conveyed in analog or digital form.
Disclosed herein are a method and system to comprehensively monitor, record, archive, index, retrieve, perform auditory data-to-text processing, control data representing auditory communications made over a communication connection and their control data, consolidation and control of these data with other communications made to and from the same entity, and to manage the ultimate disposition of the archived and live communications. In particular, the foregoing will be described with respect to a VoIP network conveying auditory communications in the form of telephone conversations (calls). The method comprises receiving VoIP data from the network representing the telephone conversation and the control elements of the connection and performing a series of optional processes on the data in order to monitor its content (its linguistic meaning), record the data, archive the recorded data, index the content of the conversation, retrieve the recorded data from the archive, and control the progress of the data traffic that supports the telephone conversation (e.g., terminate a call if a non-compliant conversation is taking place or if communication with an unauthorized person or entity is attempted). Such a solution makes use of network-data-to-text processing for identification of key words or phrases and/or for conversion of the entire data set/traffic representing telephone conversations into text.
The system may scan the network data representing the voice portion of the network traffic for the presence or absence of keywords and/or phrases through a network-data-to-text processing system, step 110, or convert the entire data set/traffic representing telephone conversations into text, optionally index the recorded data and the associated text (“Conversation Text”) from the network-data-to-text process, store the text from the network-data-to-text process, and compare the Conversation Text to a predefined lexicon of words and/or phrases. Based on positive matches and/or negative matches (lack of match), the system may take specific action as determined by the appropriate policy, step 112. This may also be determined by reference to control data. For example, such actions include but are not limited to termination of the call, notification of specific third parties, dynamic connection with and intervention of third parties and so on. Some or all of the foregoing elements may be utilized in accordance with the principles of the invention. The system may compare the data to a lexicon containing auditory representations of words directly, without first converting the entire data set/traffic into text.
This approach provides complete control, recording, archiving, retrieval, and analysis of VoIP network traffic. It also provides a means of associating VoIP network traffic with communications made using other media such as email, instant messenger, etc. by the same parties.
In an embodiment, a voice message processing system is used to process auditory communications in the form of telephone calls. The voice message processing system may comprise a processor in the form of a computer system, configured to receive voice messages from a source of voice messages, such as telephone system, a voice mail system, or a line monitor. Multiple network interface cards may be used to connect the voice message processing system to the VoIP network. The voice message processing system may be integrated with the function of the VoIP system/gateway, or be a standalone system to which the VoIP system passes data. The voice message processing system may be attached to the VoIP network and its functionality invoked when explicitly instructed by a user/administrator or system-based policy. This may be added externally to VoIP systems or made an integral element of a VoIP system. This may also be added as a VoIP device 30, and could be integrated with the telephone, and more than one may be used in a VoIP network.
A variety of methods for intercepting and/or monitoring calls may be used, to give the voice message processing system access to the call content. The voice message processing system may be configured to operate and perform its functions at the point in the network where all VoIP traffic is processed such as the VoIP gateway, gatekeeper, server, and/or switch. This central point provides access to all VoIP traffic regardless of their source or destination (i.e. internal and external calls can be processed).
In this configuration, the voice message processing system is inline with the flow of VoIP traffic to the central VoIP handling system (such as the VoIP gateway/server/switch). This configuration may be added to VoIP systems through external means without change to the VoIP system, other than the addition of the voice messaging system inline with the flow of VoIP data. VoIP data may be identified by scanning the headers of IP packets on the network, or by knowing the IP address, MAC address, or port of the various VoIP devices on the network and scanning packets going to and from those devices. A VoIP network switch may be configured to send a duplicate copy of a communication stream to the voice message processing system, while permitting the original communication stream to continue to its destination, thus cloning or “tapping” the data stream. The duplication of IP packets can be done either in hardware or software. The switch may also be configured to redirect the original communication stream to the voice message processing system, which may pass the original communication stream to its destination after analyzing and processing it.
Call setup metadata may be passed to the voice message processing system, and this metadata may vary depending on the call transport method. The call transport information may include information such as Automatic Number Identification (ANI) of the calling party, Station ID, time of day, call time (elapsed time), User ID, transport protocol, trunk ID, line ID, Class of Service, Quality of Service, Source Address (SA), Destination Address (DA), etc.
The voice message processing system identifies keywords within a call, in order to generate additional metadata that provides additional information and characterization of the content of the call. A keyword is an auditory element or representation of an audio element, text element, or both, and may be a spoken word or utterance but is not limited to speech. The keyword may be found in a lexicon kept by the system, and more than one lexicon may be used by the system. Although several lexicons may be used, it should be understood that they may be referred to collectively as constituting a single lexicon. The keyword identification can be done by the system itself or an ancillary system in communication with the voice message processing system. Automatic Speech Recognition (ASR) systems attempt to provide a complete transcription of a call through the use of Speech-to-Text (STT) technology which renders the entire call content (when it comprises speech) into text. The keyword may be directly derived from the call data or extracted from the rendered text.
The performance of keyword/phrase scanning and/or speech-to-text processing can be optionally performed in real-time or deferred for later processing. This would be determined by policy or administrator settings/preferences. For purposes of review for accuracy, the conversation text and telephone recording can be indexed to each other. In this way, a comparison can be made between the recording and the conversation text. A signature (hash or hash digest) of the text, recording, and metadata may also be added to the metadata for purposes of non-repudiation.
Referring now to
In an embodiment, shown in
The system can search for keywords in the auditory communication that positively match keywords in the lexicon. The search for keywords within a call may further specify:
Keywords (including the tests described herein) may be used to determine whether the call should be archived, to determine whether the call is violating a compliance policy such as Sarbanes-Oxley and if a prescribed action should be taken, and to affect changes to the progress and/or control of the call and/or the call's characteristics. Metadata such as the call setup metadata may be used in conjunction with the keywords to determine what actions to take. This may be defined through the use of triggering policies, which identify the criteria upon which a set of actions or policies should be executed or invoked. The voice message processing system can be configured to chain policies together. Policies may be dynamic; i.e, a policy may be invoked by another policy.
For example, metadata might indicate that a call is a customer service call. This would trigger a policy for handling customer calls. The company might have a requirement that all customer service representatives say “Thank you for calling XYZ. We appreciate your business.” A negative match may be used to determine when a representative is not in compliance with this requirement (i.e. neglects to thank the customer for calling and express appreciation). If a negative match is found, another policy may be invoked to archive the call and flag it for review by a supervisor. This system could be used to alleviate the need for constant monitoring of phone calls by supervisors.
In an embodiment, if the voice message processing system determines that a call contains certain keywords, it may activate a policy that requires archiving of the call, and also activate a policy that requires archiving all subsequent calls between that caller and called party for the next 30 days. The system may also track information from one call to another, such as determining that a caller frequently uses certain keywords in every call. Thus, if a caller frequently said “buy stock” or “dump stock” in several consecutive phone calls, this pattern could be flagged for review by the voice message processing system.
Archiving the call is shown in
In an embodiment, the call may be archived with metadata indicating which policies were triggered, step 136, such as by including the policy ID, the policy signature (hash), message signature (hash), index, or pointers to specific elements within the policy that are applicable to the triggering message. A policy may be invoked more than once, and its frequency of invocation could be recorded in the metadata. Other metadata may also be included, such as the caller ID, the called party ID, the time and date the message was received, inspected, or forwarded, and message length. Also included may be a hyperlink, pointer, or index the keywords into corresponding parts of the recorded call to the keywords and relevant portions of the call, step 138.
The recording media for archival may be selected by the user/administrator or policy. For example, VoIP network data (including the call), metadata, and call text (if any) may be recorded to “write once read many” (WORM) media, re-recordable media, erasable media, solid state recording media, etc. EMC Centera, available from EMC Corporation, is a magnetic disk-based WORM device that is well-suited for storing such data. Selection of media and location of the media are determined by the requirements of the user/administrator and the purpose of the recording. In cases of compliance issues where the recordings are used for legal purposes such as evidence in a court of law, the media chosen would be specified by law. In these cases, nonvolatile, write once media that reside at an off-site location (possibly stored with a third party acting as an escrow agent) may be used. The user/administrator or policy can specify multiple and varied forms of media. The various types of call metadata may be stored on separate storage devices from the call content itself, step 140.
The voice message processing system is not limited to the specific examples of architecture of the network-data-to-text processing system or the storage system used for the voice and text data. It is applicable to tape storage and all other data storage devices.
All calls may be archived automatically, and the voice message processing system could store any identified keywords with each call to indicate that those keywords were found in that call.
Other call processing may be performed together with or separately from archival. For example, a call may be quarantined when keywords are identified that are predefined as requiring additional analysis. The call may be archived with metadata indicating the presence of the keywords and that the recorded call is classified as a quarantine call. This decision may be based solely on the presence of the keywords, or it may take into account call setup metadata such as the identity of the calling party or identity of the called party.
An embodiment is illustrated in
Upon a call's classification as a quarantine call, a human operator or machine system may be notified, and the call may be made available for further analysis and processing. For example, a call containing keywords that trigger quarantine could be routed to a human operator for listening in real time, while the call is still taking place. This would require the voice message processing system to be processing live calls.
Additional metadata regarding the notification is created and added to the quarantined call's metadata, such as the date of notification, required response time/date, triggering policy and keywords, message ID, identity of the notified parties, etc. As the quarantined call is processed through a work flow (for review, approval, etc.), the associated metadata is appended to the quarantined call's metadata and retained until a defined expiration date, if any.
The voice message processing system can be configured to retain archived and quarantined calls until a specified disposition date, which may be determined by keywords identified in the call or policies invoked by the call. An embodiment is illustrated in
The quarantine function may be used to pro-actively monitor calls for violations of Sarbanes-Oxley, HIPAA, SEC, NASD, corporate, and other laws, regulations, and policies. For example, if a call contained the words “buy” and “stock” within one word of each other, the call would be quarantined with metadata indicating that the words “buy” and “stock” were found in the call within one word of each other.
Call control is based on identifying, in real-time (during the call), the presence or absence of keywords triggering specific policies that result in actions that control the call's characteristics and handling. As the call is in progress, the voice message processing system may remain active and listen for specific keywords that are associated with actions other than archive and quarantine. Such actions may control the progress, quality, and characteristics of the call. For example, if any of the call parties say the keywords “I can't hear you,” a policy could activate an action which would signal the calling system equipment to increase the volume of the auditory portion of the call, change communications channels, increase bandwidth allocated to the call, alter the transport (intermediate routing) of the call, or take other measures to improve the auditory quality of the call.
Specific keywords can be known by the callers and deliberately spoken in order to invoke a desired policy. For example, the caller could say, “Operator, call Bob Smith,” and the policy that is triggered by the keywords initiates actions that cause the calling equipment to add the requested party to the call. Other examples of call control are termination of the call, conferencing other parties to the call, encryption of the call, dropping specific parties from the call, accessing the public announcement system, adding a human or machine monitor to the call, etc. Call control can also be used to intentionally invoke a recording of the call (example: the caller says, “Operator, record this call,” which the voice message processing system identifies as a request to archive the call.
In an embodiment, call management may entail using the call transport metadata to trigger a policy, as shown in step 170 in
An example of processing an inbound call is illustrated in
The caller and/or call recipient may optionally be required to enter his/her ID code (PIN) in order to identify himself/herself. Another trigger policy is invoked to determine which, if any, policies are applicable.
The call setup is performed, meaning that the caller secures a trunk (outside line) and dials a number or the caller begins dialing immediately (making an internal call). Based on the information from the call setup, a trigger policy is invoked, and it is determined which policies are applicable given all of the previous information and the new information (such as external trunk ID, internal line ID, caller ID).
The call commences, meaning that the caller's request to complete the connection to the called party is attempted. If the call setup is successful, the caller and the called party are connected and begin their communication. The policies affecting the communication session are enacted. If the call setup is not successful (such as a busy signal or no answer), the policies that would apply to a successful call setup are not enacted, but the attempt and associated metadata may optionally be archived.
When the call is disconnected, post-call actions are performed in accordance with the actions specified in the applicable policies. For example, if a call would not normally be archived or quarantined based on the station ID, caller ID, called party ID, etc., but during the call restricted speech is used and certain keywords are detected, then the cached call would be quarantined. If no restricted speech was used during the call then the call would not be quarantined or archived and the cache would be cleared (deleted). A record of the call and the resulting outcome of the analysis could be optionally archived with the metadata.
The processing of an outbound call is illustrated in
The called party answers the telephone and the call setup is performed. Based on the information from the call setup, a trigger policy is invoked and it is determined which policies are applicable given all of the previous information and the new information (external trunk ID, trunk port, internal line ID, etc.).
The called party may be optionally required to enter his/her ID code (PIN) in order to identify himself/herself. Another trigger policy is invoked to determine which, if any, policies are applicable.
The call commences, meaning that the caller's request to complete the connection to the called party is completed. If the call setup is successful, the caller and the called party are connected and begin their communication. The policies affecting the communication session are enacted. If the call setup is not successful (such as a busy signal or no answer), the policies that apply to a successful call setup are not enacted.
The call is disconnected, and post-call actions are performed depending on the actions specified in the applicable policies. For example, if a call would not normally be archived or quarantined based on the Station ID, caller ID, called party ID, etc., but during the call restricted speech is used and certain keywords are detected, then the cached call would be quarantined. If no restricted speech was used during the call then the call would not be quarantined or archived and the cache would be cleared (deleted).
The voice message processing system may be used in real-time such as during a call, or applied to recordings of auditory communications. It is not limited to communication systems utilizing a centralized server, switch, exchange, etc., but may also be used with non-centralized and peer-to-peer networks and communications. Additionally, the voice message processing system can be used to control the flow, routing, bandwidth, CoS, QoS, security, encryption, and duration of calls made via VoIP systems based on matches to the Lexicon. For example, encryption of the call could be based on the identity of the call parties and matches to the lexicon.
Telephone conversations may be recorded, processed into text (speech-to-text), and then formatted for delivery to an email archive and management system, such as LEGATO EmailXtender, EmailArchive, or EmailXaminer, available from EMC Corporation, for later retrieval, analysis, and other disposition. The data objects that are held in the EmailXtender/EmailArchive/EmailXaminer system (Legato Information Lifecycle Management System or like system) are voice, the voice-to-text transcription of the conversation, and other metadata such as the source/destination information of the caller and called party, station ID, time of call, time of call termination, caller ID, keywords found, etc. The VoIP call data elements (and their derivative elements) may be packaged in such as way as to make them manageable by email systems and email management systems such as Microsoft Exchange, Microsoft Outlook, and LEGATO EmailXtender.
The presentation to the user of this information may be through an email client application, and have a front-end appearance to the user of an email message in the Inbox. The relevant call information (text, voice recording, metadata, etc.) may be contained within this pseudo-message, with hyperlinks or other references to the auditory portions of the call containing keywords and relevant portions. The user may use these links to confirm that certain keywords were found and to understand the context (such as to determine whether a law or regulation has been violated).
Users and administrators could easily and quickly archive, retrieve, analyze, sort, and filter hundreds of thousands of telephone conversations in the same manner they handle email messages.
Compared to simply sending a voice recording of a telephone conversation to an email recipient (the recording will be treated by the email server as an attachment), this approach would allow the system to detect and understand that the attachment is a voice recording and process it in a completely different manner than typical email messages with attachments.
Although the methods and systems herein have been described with respect to an illustrative embodiment, it should be appreciated that the methods and systems disclosed are independent of the precise architecture of the network-data-to-text processing system or the storage system used for the voice and text data, and are applicable to tape storage, optical devices, and all other types of data storage. The principles are equally applicable to VoIP, PSTN, PBX, digital, analog, and all other systems useful for auditory communication.
For the sake of clarity, the processes and methods herein have been illustrated with a specific flow, but it should be understood that other sequences may be possible and that some may be performed in parallel, without departing from the spirit of the invention. Additionally, steps may be subdivided or combined. As disclosed herein, software written in accordance with the present invention may be stored in some form of computer-readable medium, such as memory or CD-ROM, or transmitted over a network, and executed by a processor.
All references cited herein are intended to be incorporated by reference. Although the present invention has been described above in terms of specific embodiments, it is anticipated that alterations and modifications to this invention will no doubt become apparent to those skilled in the art and may be practiced within the scope and equivalents of the appended claims. More than one computer may be used, such as by using multiple computers in a parallel or load-sharing arrangement or distributing tasks across multiple computers such that, as a whole, they perform the functions of the components identified herein; i.e. they take the place of a single computer. Various functions described above may be performed by a single process or groups of processes, on a single computer or distributed over several computers. Processes may invoke other processes to handle certain tasks. A single storage device may be used, or several may be used to take the place of a single storage device. The present embodiments are to be considered as illustrative and not restrictive, and the invention is not to be limited to the details given herein. It is therefore intended that the disclosure and following claims be interpreted as covering all such alterations and modifications as fall within the true spirit and scope of the invention.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US4831438||25 Feb 1987||16 May 1989||Household Data Services||Electronic surveillance system|
|US4860360 *||6 Apr 1987||22 Aug 1989||Gte Laboratories Incorporated||Method of evaluating speech|
|US5027104||21 Feb 1990||25 Jun 1991||Reid Donald J||Vehicle security device|
|US5053868||18 Sep 1990||1 Oct 1991||Broadcast Equipment Rental Company||Video monitoring system for auto drive-through fast food restaurants|
|US5086385||31 Jan 1989||4 Feb 1992||Custom Command Systems||Expandable home automation system|
|US5412727 *||26 Jan 1994||2 May 1995||Drexler Technology Corporation||Anti-fraud voter registration and voting system using a data card|
|US5454037||28 Oct 1993||26 Sep 1995||Grayline International Limited||Portable secure-telephone communications module|
|US5504805 *||5 Apr 1993||2 Apr 1996||At&T Corp.||Calling number identification using speech recognition|
|US5604790 *||31 Aug 1994||18 Feb 1997||Lucent Technologies Inc.||Voice processing call announcement and answering system|
|US5608784 *||24 Jan 1994||4 Mar 1997||Miller; Joel F.||Method of personnel verification using voice recognition|
|US5758079||7 Jun 1996||26 May 1998||Vicor, Inc.||Call control in video conferencing allowing acceptance and identification of participants in a new incoming call during an active teleconference|
|US5793419||9 Jan 1997||11 Aug 1998||Systems Engineering & Management Co., Inc.||Personal audio/video surveillance system|
|US5867494||18 Nov 1996||2 Feb 1999||Mci Communication Corporation||System, method and article of manufacture with integrated video conferencing billing in a communication system architecture|
|US5905988||13 Nov 1996||18 May 1999||Imaginon||Method and apparatus for database transformation and adaptive playback|
|US5946050||4 Oct 1996||31 Aug 1999||Samsung Electronics Co., Ltd.||Keyword listening device|
|US5987454||9 Jun 1997||16 Nov 1999||Hobbs; Allen||Method and apparatus for selectively augmenting retrieved text, numbers, maps, charts, still pictures and/or graphics, moving pictures and/or graphics and audio information from a network resource|
|US6064963 *||17 Dec 1997||16 May 2000||Opus Telecom, L.L.C.||Automatic key word or phrase speech recognition for the corrections industry|
|US6064964 *||27 Mar 1998||16 May 2000||Fujitsu Limited||Data processing apparatus having breath detecting function and image display control method using breath detection|
|US6067095||4 Feb 1997||23 May 2000||Microsoft Corporation||Method for generating mouth features of an animated or physical character|
|US6115455||5 Nov 1996||5 Sep 2000||Boston Technology, Inc.||Method and apparatus for dynamically creating message mailboxes|
|US6137864||25 Jul 1997||24 Oct 2000||Lucent Technologies Inc.||Specifiable delete times for voice messaging|
|US6192111||6 Feb 1998||20 Feb 2001||Avaya Inc.||Abstracting system for multi-media messages|
|US6192342||17 Nov 1998||20 Feb 2001||Vtel Corporation||Automated camera aiming for identified talkers|
|US6233313||16 Mar 1999||15 May 2001||Bell Atlantic Network Services||Call detail reporting for lawful surveillance|
|US6243676||23 Dec 1998||5 Jun 2001||Openwave Systems Inc.||Searching and retrieving multimedia information|
|US6246933||4 Nov 1999||12 Jun 2001||BAGUé ADOLFO VAEZA||Traffic accident data recorder and traffic accident reproduction system and method|
|US6278772||30 Jun 1998||21 Aug 2001||International Business Machines Corp.||Voice recognition of telephone conversations|
|US6278992||17 Feb 1999||21 Aug 2001||John Andrew Curtis||Search engine using indexing method for storing and retrieving data|
|US6289382||31 Aug 1999||11 Sep 2001||Andersen Consulting, Llp||System, method and article of manufacture for a globally addressable interface in a communication services patterns environment|
|US6311159||5 Oct 1999||30 Oct 2001||Lernout & Hauspie Speech Products N.V.||Speech controlled computer user interface|
|US6327343 *||16 Jan 1998||4 Dec 2001||International Business Machines Corporation||System and methods for automatic call and data transfer processing|
|US6345252||9 Apr 1999||5 Feb 2002||International Business Machines Corporation||Methods and apparatus for retrieving audio information using content and speaker information|
|US6377663||3 Jan 1997||23 Apr 2002||Ncr Corporation||Call management system and associated method for a local telephone circuit|
|US6404856||10 Apr 1998||11 Jun 2002||Fuji Xerox Co., Ltd.||System for recording, annotating and indexing audio data|
|US6438594||31 Aug 1999||20 Aug 2002||Accenture Llp||Delivering service to a client via a locally addressable interface|
|US6522727||17 Dec 1997||18 Feb 2003||Comverse, Inc.||System for archiving voice mail messages|
|US6539077||8 Dec 1999||25 Mar 2003||Netnumber.Com, Inc.||Method and apparatus for correlating a unique identifier, such as a PSTN telephone number, to an internet address to enable communications over the internet|
|US6539354||24 Mar 2000||25 Mar 2003||Fluent Speech Technologies, Inc.||Methods and devices for producing and using synthetic visual speech based on natural coarticulation|
|US6542500||31 Dec 1998||1 Apr 2003||At&T Corp.||Network server platform (NSP) for a hybrid coaxial/twisted pair local loop network service architecture|
|US6542602 *||14 Feb 2000||1 Apr 2003||Nice Systems Ltd.||Telephone call monitoring system|
|US6549949||31 Aug 1999||15 Apr 2003||Accenture Llp||Fixed format stream in a communication services patterns environment|
|US6577333||12 Dec 2000||10 Jun 2003||Intel Corporation||Automatic multi-camera video composition|
|US6633835||11 Jan 2002||14 Oct 2003||Networks Associates Technology, Inc.||Prioritized data capture, classification and filtering in a network monitoring environment|
|US6661879||10 Nov 2000||9 Dec 2003||Xtend Communications Corp.||System and method for recording telephonic communications|
|US6662178||8 Jun 2001||9 Dec 2003||Knowledge Management Objects, Llc||Apparatus for and method of searching and organizing intellectual property information utilizing an IP thesaurus|
|US6665376||23 Oct 1998||16 Dec 2003||T-Netix, Inc.||Selectively activated integrated real-time recording of telephone conversations with automated documentation of consent to call recording|
|US6697796||13 Jan 2000||24 Feb 2004||Agere Systems Inc.||Voice clip search|
|US6721706||30 Oct 2000||13 Apr 2004||Koninklijke Philips Electronics N.V.||Environment-responsive user interface/entertainment device that simulates personal interaction|
|US6728679||30 Oct 2000||27 Apr 2004||Koninklijke Philips Electronics N.V.||Self-updating user interface/entertainment device that simulates personal interaction|
|US6731307||30 Oct 2000||4 May 2004||Koninklije Philips Electronics N.V.||User interface/entertainment device that simulates personal interaction and responds to user's mental state and/or personality|
|US6732090||5 Dec 2001||4 May 2004||Xerox Corporation||Meta-document management system with user definable personalities|
|US6748360||21 Feb 2002||8 Jun 2004||International Business Machines Corporation||System for selling a product utilizing audio content identification|
|US6772125||4 Dec 2001||3 Aug 2004||Sony United Kingdom Limited||Audio/video reproducing apparatus and method|
|US6781962||26 Apr 2002||24 Aug 2004||Jetque||Apparatus and method for voice message control|
|US6784899||31 Mar 2000||31 Aug 2004||Ricoh Company, Ltd.||Systems and methods for providing rich multimedia messages to remote users using telephones and facsimile machines|
|US6785370||8 Jun 2001||31 Aug 2004||Dictaphone Corporation||System and method for integrating call record information|
|US6795808||30 Oct 2000||21 Sep 2004||Koninklijke Philips Electronics N.V.||User interface/entertainment device that simulates personal interaction and charges external database with relevant data|
|US6807574||22 Oct 1999||19 Oct 2004||Tellme Networks, Inc.||Method and apparatus for content personalization over a telephone interface|
|US6820075||5 Dec 2001||16 Nov 2004||Xerox Corporation||Document-centric system with auto-completion|
|US6862566||12 Mar 2001||1 Mar 2005||Matushita Electric Industrial Co., Ltd.||Method and apparatus for converting an expression using key words|
|US6889232||15 Feb 2001||3 May 2005||Microsoft Corporation||System and method for data migration|
|US6930599||26 Jun 2003||16 Aug 2005||@ Security Broadband Corp.||Security system|
|US6934756||21 Mar 2002||23 Aug 2005||International Business Machines Corporation||Conversational networking via transport, coding and control conversational protocols|
|US6937986||28 Dec 2000||30 Aug 2005||Comverse, Inc.||Automatic dynamic speech recognition vocabulary based on external sources of information|
|US6961763||17 Aug 2000||1 Nov 2005||Microsoft Corporation||Automation system for controlling and monitoring devices and sensors|
|US6961954||2 Mar 1998||1 Nov 2005||The Mitre Corporation||Automated segmentation, information extraction, summarization, and presentation of broadcast news|
|US6968364||29 Aug 2000||22 Nov 2005||Microsoft Corporation||System and method to facilitate selection and programming of an associated audio/visual system|
|US7007048||29 May 2003||28 Feb 2006||Storage Technology Corporation||System for information life cycle management model for data migration and replication|
|US7027565 *||7 May 2003||11 Apr 2006||Denso Corporation||Voice control system notifying execution result including uttered speech content|
|US7039585||24 Sep 2001||2 May 2006||International Business Machines Corporation||Method and system for searching recorded speech and retrieving relevant segments|
|US7058565||17 Dec 2001||6 Jun 2006||International Business Machines Corporation||Employing speech recognition and key words to improve customer service|
|US7069291||14 Jun 2002||27 Jun 2006||Coppercom, Inc.||Systems and processes for call and call feature administration on a telecommunications network|
|US7117158||25 Apr 2002||3 Oct 2006||Bilcare, Inc.||Systems, methods and computer program products for designing, deploying and managing interactive voice response (IVR) systems|
|US7133511||13 Feb 2004||7 Nov 2006||Securelogix Corporation||Telephony security system|
|US7191133 *||15 Feb 2001||13 Mar 2007||West Corporation||Script compliance using speech recognition|
|US7302394||20 Dec 2002||27 Nov 2007||Ianywhere Solutions, Inc.||Front-end device independence for natural interaction platform|
|US7356474||19 Sep 2002||8 Apr 2008||International Business Machines Corporation||System and method for remotely enforcing operational protocols|
|US7440558||17 Jun 2004||21 Oct 2008||Securelogix Corporation||Telephony security system|
|US7444287||31 Mar 2005||28 Oct 2008||Emc Corporation||Efficient monitoring system and method|
|US7457396||1 Jul 2004||25 Nov 2008||Emc Corporation||Automated call management|
|US7499531||1 Jul 2004||3 Mar 2009||Emc Corporation||Method and system for information lifecycle management|
|US20010036821||10 Aug 1998||1 Nov 2001||Jay L. Gainsboro||Computer-based method and apparatus for controlling, monitoring, recording and reporting wireless communications|
|US20010038624||30 Jan 2001||8 Nov 2001||Greenberg Jeffrey Douglas||Internet telephony for ecommerce|
|US20010055372||8 Jun 2001||27 Dec 2001||Dictaphone Corporation||System and method for integrating call record information|
|US20020002460||31 Aug 1999||3 Jan 2002||Valery Pertrushin||System method and article of manufacture for a voice messaging expert system that organizes voice messages based on detected emotions|
|US20020105598||12 Dec 2000||8 Aug 2002||Li-Cheng Tai||Automatic multi-camera video composition|
|US20020110264||28 Jan 2002||15 Aug 2002||David Sharoni||Video and audio content analysis system|
|US20020122113||20 Nov 2001||5 Sep 2002||Foote Jonathan T.||Method and system for compensating for parallax in multiple camera systems|
|US20020143797||27 Mar 2002||3 Oct 2002||Ibm||File classification management system and method used in operating systems|
|US20020168058 *||3 Jul 2002||14 Nov 2002||Africa Development Enterprises Cc||Passive telecommunication monitor system|
|US20030018531||20 May 2002||23 Jan 2003||Mahaffy Kevin E.||Point-of-sale commercial transaction processing system using artificial intelligence assisted by human intervention|
|US20030033287||5 Dec 2001||13 Feb 2003||Xerox Corporation||Meta-document management system with user definable personalities|
|US20030058277||31 Aug 1999||27 Mar 2003||Bowman-Amuah Michel K.||A view configurer in a presentation services patterns enviroment|
|US20030074404||28 Feb 2002||17 Apr 2003||Parker Benjamin J.||Sharing of still images within a video telephony call|
|US20030078973||25 Sep 2002||24 Apr 2003||Przekop Michael V.||Web-enabled system and method for on-demand distribution of transcript-synchronized video/audio records of legal proceedings to collaborative workgroups|
|US20030112259||3 Dec 2002||19 Jun 2003||Fuji Photo Film Co., Ltd.||Method and apparatus for registering modification pattern of transmission image and method and apparatus for reproducing the same|
|US20030120390||31 Jan 2003||26 Jun 2003||Metrovideo, Inc.||Image acquisition system|
|US20030158839||26 Mar 2002||21 Aug 2003||Yaroslav Faybishenko||System and method for determining relevancy of query responses in a distributed network search mechanism|
|US20030182308||7 Oct 2002||25 Sep 2003||Matthias Ernst||Schema-oriented content management system|
|US20030182387||14 Jan 2003||25 Sep 2003||Geshwind David Michael||Class of methods for improving perceived efficiency of end-user interactive access of a large database such as the world-wide web via a communication network such as "The Internet"|
|US20030191911||2 Apr 2003||9 Oct 2003||Powerquest Corporation||Using disassociated images for computer and storage resource management|
|US20030227540||5 Jun 2002||11 Dec 2003||Monroe David A.||Emergency telephone with integrated surveillance system connectivity|
|US20030236788||3 Jun 2002||25 Dec 2003||Nick Kanellos||Life-cycle management engine|
|US20040002868||7 May 2003||1 Jan 2004||Geppert Nicolas Andre||Method and system for the processing of voice data and the classification of calls|
|US20040008828||9 Jul 2002||15 Jan 2004||Scott Coles||Dynamic information retrieval system utilizing voice recognition|
|US20040010415||23 Dec 2000||15 Jan 2004||Yoon-Deuk Seo||Apparatus and method for searching digital audio data file from media where digital audio data files are recorded|
|US20040010519||20 Dec 2002||15 Jan 2004||Sinn Richard P.||Rule based data management|
|US20040024762||9 Dec 2002||5 Feb 2004||Sachin Agarwal||Support for multiple mechanisms for accessing data stores|
|US20040030741||1 Apr 2002||12 Feb 2004||Wolton Richard Ernest||Method and apparatus for search, visual navigation, analysis and retrieval of information from networks with remote notification and content delivery|
|US20040054531||21 Oct 2002||18 Mar 2004||Yasuharu Asano||Speech recognition apparatus and speech recognition method|
|US20040083101||23 Oct 2002||29 Apr 2004||International Business Machines Corporation||System and method for data mining of contextual conversations|
|US20040083244||23 Oct 2002||29 Apr 2004||Andreas Muecklich||Change-driven replication of data|
|US20040085203||5 Nov 2002||6 May 2004||Junqua Jean-Claude||Distributed apparatus to improve safety and communication for law enforcement applications|
|US20040111639||10 Jun 2003||10 Jun 2004||Schwartz Michael I.||Information aggregation, processing and distribution system|
|US20040127286||16 Dec 2003||1 Jul 2004||Aruze Corp.||Information providing system|
|US20040143602||17 Oct 2003||22 Jul 2004||Antonio Ruiz||Apparatus, system and method for automated and adaptive digital image/video surveillance for events and configurations using a rich multimedia relational database|
|US20040167890||23 Feb 2004||26 Aug 2004||Aviv Eyal||System and method for media search and playback|
|US20040186726||1 Oct 2002||23 Sep 2004||Grosvenor David Arthur||Automatic photography|
|US20040199494||4 Apr 2003||7 Oct 2004||Nikhil Bhatt||Method and apparatus for tagging and locating audio data|
|US20040199566||14 Mar 2003||7 Oct 2004||International Business Machines Corporation||System, method, and apparatus for policy-based data management|
|US20040203577||25 Jul 2002||14 Oct 2004||International Business Machines Corporation||Remotely monitoring and controlling automobile anti-theft sound alarms through wireless cellular telecommunications|
|US20040221261||1 Apr 2003||4 Nov 2004||Mike Blevins||Collaborative business plug-in framework|
|US20040235520||20 May 2003||25 Nov 2004||Cadiz Jonathan Jay||Enhanced telephony computer user interface allowing user interaction and control of a telephone using a personal computer|
|US20040247086||7 Apr 2003||9 Dec 2004||Royal Thoughts, Llc||Emergency response information distribution|
|US20040249790||31 Mar 2003||9 Dec 2004||Toshiba Tec Kabushiki Kaisha||Search device, search system, and search method|
|US20040263636||26 Jun 2003||30 Dec 2004||Microsoft Corporation||System and method for distributed meetings|
|US20050015286||26 Apr 2004||20 Jan 2005||Nice System Ltd||Advanced quality management and recording solutions for walk-in environments|
|US20050069095||25 Sep 2003||31 Mar 2005||International Business Machines Corporation||Search capabilities for voicemail messages|
|US20050131559||30 May 2003||16 Jun 2005||Jonathan Kahn||Method for locating an audio segment within an audio file|
|US20060010150||19 Sep 2000||12 Jan 2006||Kom, Inc.||Method and System for Electronic File Lifecycle Management|
|US20060095502||24 Nov 2003||4 May 2006||America Online, Incorporated||Real-time communications and content sharing|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US8379819 *||24 Dec 2008||19 Feb 2013||Avaya Inc||Indexing recordings of telephony sessions|
|US9002713 *||9 Jun 2009||7 Apr 2015||At&T Intellectual Property I, L.P.||System and method for speech personalization by need|
|US9178773||15 Apr 2015||3 Nov 2015||Green Key Technologies Llc||Computer-programmed telephone-enabled devices for processing and managing numerous simultaneous voice conversations conducted by an individual over a computer network and computer methods of implementing thereof|
|US20100158204 *||24 Dec 2008||24 Jun 2010||Alan Diskin||Indexing recordings of telephony sessions|
|US20100312556 *||9 Jun 2009||9 Dec 2010||AT & T Intellectual Property I , L.P.||System and method for speech personalization by need|
|U.S. Classification||713/170, 704/270|
|International Classification||H04M3/42, H04M1/64, H04M3/22, H04L9/32, G10L15/00|
|Cooperative Classification||H04M3/2218, H04M3/42221, H04M2201/40|
|European Classification||H04M3/42L, H04M3/22D|
|30 Jul 2004||AS||Assignment|
Owner name: EMC CORPORATION, MASSACHUSETTS
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CLAUDATOS, CHRISTOPHER HERCULES;ANDRUSS, WILLIAM DALE;LEETCH, BRUCE DAVID;AND OTHERS;REEL/FRAME:015026/0241
Effective date: 20040730
|24 Jul 2015||FPAY||Fee payment|
Year of fee payment: 4